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Managing Your Biological Data with Python

Af: Kristian Rother, Allegra Via, Anna Tramontano Engelsk Paperback

Managing Your Biological Data with Python

Af: Kristian Rother, Allegra Via, Anna Tramontano Engelsk Paperback
Tjek vores konkurrenters priser

Take Control of Your Data and Use Python with Confidence

Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how to read data from files in different formats, analyze and manipulate the data, and write the results to a file or computer screen.

The first part of the text introduces the Python language and teaches readers how to write their first programs. The second part presents the basic elements of the language, enabling readers to write small programs independently. The third part explains how to create bigger programs using techniques to write well-organized, efficient, and error-free code. The fourth part on data visualization shows how to plot data and draw a figure for an article or slide presentation. The fifth part covers the Biopython programming library for reading and writing several biological file formats, querying the NCBI online databases, and retrieving biological records from the web. The last part provides a cookbook of 20 specific programming "recipes," ranging from secondary structure prediction and multiple sequence alignment analyses to superimposing protein three-dimensional structures.

Tailoring the programming topics to the everyday needs of biologists, the book helps them easily analyze data and ultimately make better discoveries. Every piece of code in the text is aimed at solving real biological problems.

Tjek vores konkurrenters priser
Normalpris
kr 678
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Take Control of Your Data and Use Python with Confidence

Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how to read data from files in different formats, analyze and manipulate the data, and write the results to a file or computer screen.

The first part of the text introduces the Python language and teaches readers how to write their first programs. The second part presents the basic elements of the language, enabling readers to write small programs independently. The third part explains how to create bigger programs using techniques to write well-organized, efficient, and error-free code. The fourth part on data visualization shows how to plot data and draw a figure for an article or slide presentation. The fifth part covers the Biopython programming library for reading and writing several biological file formats, querying the NCBI online databases, and retrieving biological records from the web. The last part provides a cookbook of 20 specific programming "recipes," ranging from secondary structure prediction and multiple sequence alignment analyses to superimposing protein three-dimensional structures.

Tailoring the programming topics to the everyday needs of biologists, the book helps them easily analyze data and ultimately make better discoveries. Every piece of code in the text is aimed at solving real biological problems.

Produktdetaljer
Sprog: Engelsk
Sider: 560
ISBN-13: 9781439880937
Indbinding: Paperback
Udgave:
ISBN-10: 143988093X
Kategori: Molekylærbiologi
Udg. Dato: 18 mar 2014
Længde: 30mm
Bredde: 234mm
Højde: 154mm
Forlag: Taylor & Francis Inc
Oplagsdato: 18 mar 2014
Forfatter(e) Kristian Rother, Allegra Via, Anna Tramontano


Kategori Molekylærbiologi


ISBN-13 9781439880937


Sprog Engelsk


Indbinding Paperback


Sider 560


Udgave


Længde 30mm


Bredde 234mm


Højde 154mm


Udg. Dato 18 mar 2014


Oplagsdato 18 mar 2014


Forlag Taylor & Francis Inc

Kategori sammenhænge